WaveNet
WaveNet, yakaunzwa neDeepMind muna 2016, yaive budiriro neural network iyo inogadzira yakasvibira odhiyo sampu imwe panguva, ichigadzira zvinoshamisa kutaura kwechisikigo uye mimhanzi.
Pfupiso
It set the modern standard for high-fidelity text-to-speech.
Kudzika Kwakadzika
WaveNet ndeye autoregressive generative modhi: inofanotaura yega yega odhiyo sampu yakamisikidzwa pane ese masampuli pamberi payo, kazhinji pagumi nematanhatu kana 24,000 masampuli pasekondi. Yayo musimboti innovation is a stalk of dilated causal convolutions. Causal zvinoreva kuti modhi inongotarisa kumashure munguva, ichichengetedza kurongeka kwechizvarwa; dilation zvinoreva kuti imwe neimwe nhanho inosvetukira kuwedzera kukura kwemasampuli, saka ine mwero stack inovhara zviuru zvemasamples (munda wakafara unogamuchira) pasina mutengo wakakura. Yakamisikidzwa pamhando dzemitauro kana mel-spectrogram, WaveNet inogadzira kutaura kwakaringana kupfuura iyo concatenative uye parametric manzwi akatangira, ichivhara yakawanda yegeji kune zvakarekodhwa zvevanhu uye kusimbisa ekutanga shanduro dzeGoogle Mubatsiri.
Technical Insight
Dilated convolutions ndiyo dhizaini yakakosha: ine dilation rates ye1, 2, 4, 8, zvichingodaro, network chete makumi ematanho akadzika anogona kuenda kuzviuru zvemasamples apfuura, achitora zvese zvakanaka waveform ruzivo uye kureba kweprosodic chimiro. Iwo anobuda mamodheru kukosha kwesample yega yega sekugoverwa kwechikamu (pakutanga mazinga mazana maviri nemakumi mashanu nenhanhatu kuburikidza ne-mu-mutemo kuenzanisa), uye gedhi activation units pamwe neasara uye skip zvinongedzo zvinodzikamisa kudzidziswa kweiyi stack yakadzika.
Strategic Impact
Svika uye svika
Inonatsiridza kusvikika kuburikidza nekunyora, kurondedzera, uye mazwi ekubatanidza.
Mutengo uye bhajeti
Zvikwata zveMedia zvinogona kutumira odhiyo yakakwenenzverwa nekukurumidza nemabhajeti madiki.
Kumhanya uye chiyero
Masisitimu anotarisana nevatengi anogona kugadzirisa kutaurirana kwekutaura pamwero mukuru.
Ramangwana reWaveNet
Yekutanga WaveNet yainonoka nekuti sampling inoteedzana. Vatevedzeri vakagadzirisa izvi: Parallel WaveNet uye WaveRNN yakagonesa chaiyo-nguva synthesis, uye gare gare kuyerera- uye GAN-based vocoder seWaveGlow neHiFi-GAN, pamwe nediffusion vocoders, kusundidzira kunaka uye kumhanya mberi. WaveNet's autoregressive, dilated-convolution mazano anogara mune aya masisitimu uye akafurira zvivakwa zvakapfuura odhiyo, ichisimbisa nhaka yayo mukugadzira modhi.
Real-World Implementation
Kugadzira manzwi anonzwika e Google Mubatsiri uye Google Cloud Zvinyorwa-ku-Kutaura
Kuita seneural vocoder inoshandura mel-spectrograms kuita waveforms mumapaipi eTTS seTacotron 2.
Kubatanidza piyano chaiyo uye mimhanzi yezviridzwa kubva kune yakaomeswa odhiyo
Inzwi synthesis yezvishandiso zvekuwanikwa uye kurondedzera kweaudiobook
Njodzi & Guardrails
Kushandisa izwi zvisizvo uye njodzi dzekuedzesera dzinowedzera kana chibvumirano chisipo.
Kururama kunogona kudonha mumitauro, mataurirwo, kana nharaunda dzine ruzha.
Synthetic audio inogona kukanganisa kutaura kwechokwadi isina mavara akajeka.
Implementation Roadmap
Wana mvumo yakajeka yekutora inzwi, kugadzira, uye kushandisa zvakare.
Yedza mhando pavatauri vakasiyana uye mamiriro ekumashure.
Tsanangura apo munhu anofanira kuongorora kana kubvumidza zvabuda.
Label synthetic odhiyo uye chengetedza marekodhi ekuzvidavirira.
Ramba Uchiongorora
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Gaidhi rinotevera
Audio Deepfake Detection
Mibvunzo inowanzo bvunzwa
What is WaveNet?
WaveNet, yakaunzwa neDeepMind muna 2016, yaive budiriro neural network iyo inogadzira yakasvibira odhiyo sampu imwe panguva, ichigadzira zvinoshamisa kutaura kwechisikigo uye mimhanzi. Yakaisa chiyero chemazuva ano chepamusoro-kutendeseka mavara-ku-kutaura.
WaveNet inoburitsa sei odhiyo?
WaveNet ndeye autoregressive: inofanotaura yega yega odhiyo sampuli zvichibva pamasampuli akauya pamberi payo.
Chii chakakosha convolutional innovation muWaveNet?
Dilated causal convolutions inoita kuti network ivhare zviuru zvesamples zvakapfuura zvakanaka uchingotarisa kumashure nenguva.
Nei dilation ichibatsira WaveNet?
Kuwedzera kuri kuwedzera mareti ekuwedzera anopa nzvimbo yakakura inogamuchira pamusoro pezviuru zvemasamples ane mashoma mashoma.
Chii chaive chikuru chinoshanda chekudzosera kumashure kweiyo WaveNet yekutanga?
Nekuti sampuli yega yega inoenderana neyakapfuura, chizvarwa chaive chakatevedzana uye saka chinononoka, chichikurudzira Parallel WaveNet nevamwe vatevedzeri.
Mune pombi-kune-kutaura pombi, WaveNet inowanzoshanda sechii?
WaveNet inogona kutora mel-spectrogram (semuenzaniso, kubva kuTacotron 2) uye kuburitsa yekupedzisira yakasikwa-inonzwika waveform.